Biomedical informatics for cancer research / Michael F. Ochs, John T. Casagrande, Ramana V. Davuluri, editors. — New York : Springer, c2010. – (64.82/B615b)

Contents

    Contents
    
    Section 1 Concepts， Issues， and Approaches
    1 Biomedical Informatics for Cancer Research: Introduction
    2 Clinical Research Systems and Integration with Medical Systems
    3 Data Management， Databases， and Warehousing
    4 Middleware Architecture Approaches for Collaborative Cancer Research
    5 Federated Authentication
    6 Genomics Data Analysis Pipelines
    7 Mathematical Modeling in Cancer
    8 Reproducible Research Concepts and Tools for Cancer Bioinformatics 149
    9 The Cancer Biomedical Informatics Grid (caBIG): An Evolving Community for Cancer Research 177
    Section 2 Tools and Applications 201
    10 The caBIG Clinical Trials Suite 203
    11 The CAISIS Research Data System
    12 A Common Application Framework that is Extensible: CAF-E 227
    13 Shared Resource Management 241
    14 The caBIG Life Sciences Distribution 253
    15 MeV: MultiExperiment Viewer 267
    16 Authentication and Authorization in Cancer Research Systems 279
    17 Caching and Visualizing Statistical Analyses 291
    18 Familial Cancer Risk Assessment Using BayesMendel 301
    19 Interpreting and Comparing Clustering Experiments Through Graph Visualization and Ontology Statistical Enrichment with the ClutrFree Package 315
    20 Enhanced Dynamic Documents for Reproducible Research 335
    Index 347